Scale Engineer

Software Engineer II

Software EngineerL7Hard

This interview process is for a Software Engineer II (L7) role at Swiggy, focusing on assessing candidates' technical expertise, problem-solving abilities, system design skills, and cultural fit for a senior engineering position.

Rounds·4

Timeline·~7d

Experience·6 - 10 yrs

Comp band·US$180000 - US$250000

Interview time·195 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • Code quality and efficiency
  • Debugging skills

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems, focusing on time and space complexity.
  3. Study system design principles and common patterns.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and impact.
  5. Understand Swiggy's business and technology stack.
  6. Brush up on behavioral interview techniques and prepare STAR method answers.
  7. Research common interview questions for senior software engineering roles.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Algorithms (Arrays, Lists, Trees, Graphs, Hash Tables, Sorting, Searching, DP, Greedy). LeetCode (Medium). Complexity Analysis.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice problems on platforms like LeetCode, aiming for medium difficulty. Understand time and space complexity analysis.

Questions

Commonly asked.

  • Design a URL shortening service.
  • How would you design a notification system for Swiggy?
  • Explain the CAP theorem and its implications.
  • Describe a situation where you disagreed with a technical decision. How did you handle it?
  • What are the challenges of working with a distributed system?
  • How do you ensure data consistency in a distributed environment?
  • Write a function to find the k-th largest element in an unsorted array.
  • Discuss the pros and cons of using a message queue.
  • How would you scale a web application to handle millions of users?
  • Tell me about a time you failed. What did you learn from it?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Deep dive into distributed systems and microservices architecture.Emphasis on operational excellence and incident management.Problem-solving skills in complex, high-scale scenarios.Leadership and mentorship capabilities.

Common questions

  • How would you design a distributed caching system for Swiggy's food delivery platform?
  • Discuss a time you had to deal with a production incident. What was your approach and what did you learn?
  • Explain the trade-offs between SQL and NoSQL databases for a high-throughput service like Swiggy's order management.
  • How do you ensure scalability and reliability in a microservices architecture?
  • Describe your experience with cloud platforms (AWS, GCP, Azure) and how you've used them to build scalable applications.

Tips

  • Be prepared to discuss specific examples of large-scale systems you've designed or worked on.
  • Understand Swiggy's business model and how technology supports it.
  • Showcase your ability to mentor junior engineers and lead technical initiatives.
  • Familiarize yourself with common cloud services and their use cases.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Swiggy.

Frequently reported on Swiggy loops

View all at Swiggy

Other guides

More at Swiggy.